Stochastic Convergence of Weighted Sums of Random Elements in Linear Spaces PDF Download

Author: Robert L. Taylor
Publisher: Springer
ISBN: 3540357408
Category : Mathematics
Languages : en
Pages : 224

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Author: Joseph Rudnick
Publisher: Cambridge University Press
ISBN: 9781139450140
Category : Science
Languages : en
Pages : 350

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Book Description
Random walks have proven to be a useful model in understanding processes across a wide spectrum of scientific disciplines. Elements of the Random Walk is an introduction to some of the most powerful and general techniques used in the application of these ideas. The mathematical construct that runs through the analysis of the topics covered in this book, unifying the mathematical treatment, is the generating function. Although the reader is introduced to analytical tools, such as path-integrals and field-theoretical formalism, the book is self-contained in that basic concepts are developed and relevant fundamental findings fully discussed. Mathematical background is provided in supplements at the end of each chapter, when appropriate. This text will appeal to graduate students across science, engineering and mathematics who need to understand the applications of random walk techniques, as well as to established researchers.

Author: Felicia Luna Lemus
Publisher: Macmillan
ISBN: 0374278563
Category : Fiction
Languages : en
Pages : 262

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Book Description
This fiction debut is "a warm tale of 'princess dyke' life in L.A. What they lack in resources, they make up for in their celebration of familia, love and unapologetic sexual configurations" (Ana Castillo).

Author: Cain Mckay
Publisher: Scientific e-Resources
ISBN: 1839473304
Category :
Languages : en
Pages : 331

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Author: Horst Bunke
Publisher: World Scientific
ISBN: 9814507636
Category : Computers
Languages : en
Pages : 572

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Book Description
This book is currently the only one on this subject containing both introductory material and advanced recent research results. It presents, at one end, fundamental concepts and notations developed in syntactic and structural pattern recognition and at the other, reports on the current state of the art with respect to both methodology and applications. In particular, it includes artificial intelligence related techniques, which are likely to become very important in future pattern recognition.The book consists of individual chapters written by different authors. The chapters are grouped into broader subject areas like “Syntactic Representation and Parsing”, “Structural Representation and Matching”, “Learning”, etc. Each chapter is a self-contained presentation of one particular topic. In order to keep the original flavor of each contribution, no efforts were undertaken to unify the different chapters with respect to notation. Naturally, the self-containedness of the individual chapters results in some redundancy. However, we believe that this handicap is compensated by the fact that each contribution can be read individually without prior study of the preceding chapters. A unification of the spectrum of material covered by the individual chapters is provided by the subject and author index included at the end of the book.

Author:
Publisher:
ISBN:
Category : Commerce
Languages : en
Pages : 392

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Author: Yu.A. Shreider
Publisher: Elsevier
ISBN: 1483155579
Category : Mathematics
Languages : en
Pages : 396

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Book Description
The Monte Carlo Method: The Method of Statistical Trials is a systematic account of the fundamental concepts and techniques of the Monte Carlo method, together with its range of applications. Some of these applications include the computation of definite integrals, neutron physics, and in the investigation of servicing processes. This volume is comprised of seven chapters and begins with an overview of the basic features of the Monte Carlo method and typical examples of its application to simple problems in computational mathematics. The next chapter examines the computation of multi-dimensional integrals using the Monte Carlo method. Some examples of statistical modeling of integrals are analyzed, together with the accuracy of the computations. Subsequent chapters focus on the applications of the Monte Carlo method in neutron physics; in the investigation of servicing processes; in communication theory; and in the generation of uniformly distributed random numbers on electronic computers. Methods for organizing statistical experiments on universal digital computers are discussed. This book is designed for a wide circle of readers, ranging from those who are interested in the fundamental applications of the Monte Carlo method, to those who are concerned with comparatively limited problems of the peculiarities of simulating physical processes.

Author: James R. Miller
Publisher: Springer
ISBN: 3319129945
Category : Science
Languages : en
Pages : 125

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Book Description
This new book is the first to make logical and important connections between trapping and foraging ecology. It develops and describes—both verbally and mathematically--the underlying principles that determine and define trap-organism interactions. More important, it goes on to explain and illustrate how these principles and relationships can be used to estimate absolute population densities in the landscape and to address an array of important problems relating to the use of trapping for detection, population estimation, and suppression in both research and applied contexts. The breakthrough nature of subject matter described has broad fundamental and applied implications for research for addressing important real-world problems in agriculture, ecology, public health and conservation biology. Monitoring traps baited with potent attractants of animals like insects have long played a critical role in revealing what pests are present and when they are active. However, pest managers have been laboring without the tools necessary for quick and inexpensive determination of absolute pest density, which is the cornerstone of pest management decisions. This book spans the gamut from highly theoretical and fundamental research to very practical applications that will be widely useful across all of agriculture.

Author: Zaigham Mahmood
Publisher: Springer
ISBN: 3030180751
Category : Computers
Languages : en
Pages : 311

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Book Description
The Internet of Things (IoT) is a network of devices and smart things that provides a pervasive environment in which people can interact with both the cyber and physical worlds. As the number and variety of connected objects continue to grow and the devices themselves become smarter, users’ expectations in terms of adaptive and self-governing digital environments are also on the rise. Although, this connectivity and the resultant smarter living is highly attractive to general public and profitable for the industry, there are also inherent concerns. The most challenging of these refer to the privacy and security of data, user trust of the digital systems, and relevant authentication mechanisms. These aspects call for novel network architectures and middleware platforms based on new communication technologies; as well as the adoption of novel context-aware management approaches and more efficient tools and devices. In this context, this book explores central issues of privacy, security and trust with regard to the IoT environments, as well as technical solutions to help address them. The main topics covered include:• Basic concepts, principles and related technologies• Security/privacy of data, and trust issues• Mechanisms for security, privacy, trust and authentication• Success indicators, performance metrics and future directions. This reference text is aimed at supporting a number of potential audiences, including• Network Specialists, Hardware Engineers and Security Experts • Students, Researchers, Academics and Practitioners.

Author: Alfred James Lotka
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 514

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Book Description
General principles. Kinetics. Statics. Dynamics.